Leveraging the capability of large language models (LLMs) to generate executable code, the Azure Code Interpreter tool allows for sandboxed code execution, addressing the inherent risks of executing potentially flawed or dangerous code by using Azure Container Apps. This tool, integrated with LlamaIndex, facilitates complex tasks by isolating the code from the host environment, ensuring safe execution. Examples include determining the current time in Seattle, analyzing CSV data, and modifying files, showcasing the tool's ability to handle tasks that involve data inspection and manipulation. Despite an initial syntax error during a file modification task, the tool demonstrated adaptability by correcting and successfully executing the code, highlighting its potential to expand the scope of tasks that LLM agents can perform safely. This innovation promises to enhance the versatility and reliability of LLM-based agents, encouraging users to explore new possibilities with the confidence of secure execution.